A database to power fraud and anomaly detection at scale
Leading companies use StarTree – powered by Apache Pinot – for real-time fraud detection to protect against fraudulent behavior. Improve detection accuracy, reduce false positives, and halt suspicious activities
StarTree makes it possible to store and query high cardinality data (card IDs, merchants, geolocation) swiftly and efficiently. Ingest to petabytes of streaming transaction and clickstream data while supporting query-time table joins, fast aggregations, and billions of upserts.
A database ideal for anomaly and fraud detection use-cases on real-time data – at speed and scale.
Apache Pinot is a real-time OLAP database built for ultra-fast analytics on high-volume data. It supports sub-second queries on billions of rows, even with high cardinality and concurrency — ideal for working with streaming business data.
StarTree Cloud delivers a fully managed Pinot experience with enterprise-grade security, automated scaling, and seamless integrations (Kafka, Flink, BI tools, etc.). It gives your team the power to build real-time dashboards, alerts, and APIs on live data — without compromising performance or reliability.
If you’re tracking fast-moving data and need rapid detection of issues at scale, Pinot + StarTree can help you move faster and operate smarter.
